{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Define matplotlib defaults\n",
    "plt.rcParams['figure.figsize']        = 8., 6.\n",
    "plt.rcParams['axes.labelsize']        = 18\n",
    "plt.rcParams['axes.titlesize']        = 18\n",
    "plt.rcParams['xtick.top']             = True\n",
    "plt.rcParams['xtick.bottom']          = True\n",
    "plt.rcParams['ytick.left']            = True\n",
    "plt.rcParams['ytick.right']           = True\n",
    "plt.rcParams['xtick.direction']       = 'in'\n",
    "plt.rcParams['ytick.direction']       = 'in'\n",
    "plt.rcParams['xtick.labelsize']       = 14\n",
    "plt.rcParams['ytick.labelsize']       = 14\n",
    "plt.rcParams['xtick.major.pad']       = 6.\n",
    "plt.rcParams['xtick.minor.pad']       = 6.\n",
    "plt.rcParams['ytick.major.pad']       = 6.\n",
    "plt.rcParams['ytick.minor.pad']       = 6.\n",
    "plt.rcParams['xtick.major.size']      = 6. # major tick size in points\n",
    "plt.rcParams['xtick.minor.size']      = 3. # minor tick size in points\n",
    "plt.rcParams['ytick.major.size']      = 6. # major tick size in points\n",
    "plt.rcParams['ytick.minor.size']      = 3. # minor tick size in points\n",
    "plt.rcParams['text.usetex']           = False\n",
    "plt.rcParams['font.family']           = 'serif'\n",
    "plt.rcParams['font.size']             = 18\n",
    "\n",
    "pd.set_option('display.max_columns', None)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# IMAGENET256"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "source": [
    "experiment_prefix = 'IMAGENET256'\n",
    "# Load results\n",
    "df = pd.read_csv(f'../data/{experiment_prefix.lower()}.csv')\n",
    "models = df.model.unique().tolist()\n",
    "print(df.shape)\n",
    "df.head()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "(279, 10)\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>model</th>\n",
       "      <th>num_correct</th>\n",
       "      <th>err_rt</th>\n",
       "      <th>f_err_rt</th>\n",
       "      <th>r_err_rt</th>\n",
       "      <th>r_ans_rt</th>\n",
       "      <th>resp_time</th>\n",
       "      <th>f_resp_time</th>\n",
       "      <th>r_resp_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>participant_0</td>\n",
       "      <td>ADM</td>\n",
       "      <td>133.0</td>\n",
       "      <td>0.335</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.555</td>\n",
       "      <td>228.79</td>\n",
       "      <td>118.01</td>\n",
       "      <td>110.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>participant_1</td>\n",
       "      <td>ADM</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0.155</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.475</td>\n",
       "      <td>829.29</td>\n",
       "      <td>399.16</td>\n",
       "      <td>430.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>participant_2</td>\n",
       "      <td>ADM</td>\n",
       "      <td>156.0</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.620</td>\n",
       "      <td>394.62</td>\n",
       "      <td>178.58</td>\n",
       "      <td>216.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>participant_3</td>\n",
       "      <td>ADM</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0.155</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.555</td>\n",
       "      <td>164.49</td>\n",
       "      <td>82.50</td>\n",
       "      <td>81.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>participant_4</td>\n",
       "      <td>ADM</td>\n",
       "      <td>135.0</td>\n",
       "      <td>0.325</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.515</td>\n",
       "      <td>267.49</td>\n",
       "      <td>139.42</td>\n",
       "      <td>128.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              id model  num_correct  err_rt  f_err_rt  r_err_rt  r_ans_rt  \\\n",
       "0  participant_0   ADM        133.0   0.335      0.39      0.28     0.555   \n",
       "1  participant_1   ADM        169.0   0.155      0.13      0.18     0.475   \n",
       "2  participant_2   ADM        156.0   0.220      0.34      0.10     0.620   \n",
       "3  participant_3   ADM        169.0   0.155      0.21      0.10     0.555   \n",
       "4  participant_4   ADM        135.0   0.325      0.34      0.31     0.515   \n",
       "\n",
       "   resp_time  f_resp_time  r_resp_time  \n",
       "0     228.79       118.01       110.78  \n",
       "1     829.29       399.16       430.13  \n",
       "2     394.62       178.58       216.04  \n",
       "3     164.49        82.50        81.99  \n",
       "4     267.49       139.42       128.06  "
      ]
     },
     "metadata": {},
     "execution_count": 18
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "columns = df.columns.tolist()[3:]\n",
    "df_results = pd.DataFrame(columns=columns)\n",
    "df_results_sem = pd.DataFrame(columns=columns)\n",
    "for j, model in enumerate(models):\n",
    "    model_res = df.loc[df['model'] == model]\n",
    "    df_results.loc[model] = model_res.mean(numeric_only=True)\n",
    "    df_results_sem.loc[model] = model_res.sem(numeric_only=True) # standard error of the mean\n",
    "\n",
    "df_results"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>err_rt</th>\n",
       "      <th>f_err_rt</th>\n",
       "      <th>r_err_rt</th>\n",
       "      <th>r_ans_rt</th>\n",
       "      <th>resp_time</th>\n",
       "      <th>f_resp_time</th>\n",
       "      <th>r_resp_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ADM</th>\n",
       "      <td>0.266400</td>\n",
       "      <td>0.279200</td>\n",
       "      <td>0.253600</td>\n",
       "      <td>0.512800</td>\n",
       "      <td>368.878000</td>\n",
       "      <td>169.867200</td>\n",
       "      <td>199.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADMG</th>\n",
       "      <td>0.247600</td>\n",
       "      <td>0.259200</td>\n",
       "      <td>0.236000</td>\n",
       "      <td>0.511600</td>\n",
       "      <td>395.647600</td>\n",
       "      <td>213.974400</td>\n",
       "      <td>181.674800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADMG-ADMU</th>\n",
       "      <td>0.268800</td>\n",
       "      <td>0.298000</td>\n",
       "      <td>0.239600</td>\n",
       "      <td>0.529200</td>\n",
       "      <td>343.513200</td>\n",
       "      <td>145.187200</td>\n",
       "      <td>198.328400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BigGAN</th>\n",
       "      <td>0.158000</td>\n",
       "      <td>0.161200</td>\n",
       "      <td>0.154800</td>\n",
       "      <td>0.503200</td>\n",
       "      <td>326.384800</td>\n",
       "      <td>148.807600</td>\n",
       "      <td>177.577200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiT-XL-2</th>\n",
       "      <td>0.286200</td>\n",
       "      <td>0.306800</td>\n",
       "      <td>0.265600</td>\n",
       "      <td>0.520600</td>\n",
       "      <td>340.988000</td>\n",
       "      <td>160.790400</td>\n",
       "      <td>180.198400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiT-XL-2-guided</th>\n",
       "      <td>0.329630</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>0.329259</td>\n",
       "      <td>0.500370</td>\n",
       "      <td>351.765926</td>\n",
       "      <td>162.170741</td>\n",
       "      <td>189.595926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GigaGAN</th>\n",
       "      <td>0.212400</td>\n",
       "      <td>0.212400</td>\n",
       "      <td>0.212400</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>397.633600</td>\n",
       "      <td>203.250000</td>\n",
       "      <td>194.384400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDM</th>\n",
       "      <td>0.308846</td>\n",
       "      <td>0.323462</td>\n",
       "      <td>0.294231</td>\n",
       "      <td>0.514615</td>\n",
       "      <td>368.827308</td>\n",
       "      <td>182.607308</td>\n",
       "      <td>186.220000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mask-GIT</th>\n",
       "      <td>0.183400</td>\n",
       "      <td>0.203200</td>\n",
       "      <td>0.163600</td>\n",
       "      <td>0.519800</td>\n",
       "      <td>278.182000</td>\n",
       "      <td>131.692800</td>\n",
       "      <td>146.489600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RQ-Transformer</th>\n",
       "      <td>0.223462</td>\n",
       "      <td>0.241923</td>\n",
       "      <td>0.205000</td>\n",
       "      <td>0.518462</td>\n",
       "      <td>307.736923</td>\n",
       "      <td>149.075769</td>\n",
       "      <td>158.661538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StyleGAN-XL</th>\n",
       "      <td>0.153400</td>\n",
       "      <td>0.162000</td>\n",
       "      <td>0.144800</td>\n",
       "      <td>0.508600</td>\n",
       "      <td>314.630000</td>\n",
       "      <td>141.235200</td>\n",
       "      <td>173.394400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   err_rt  f_err_rt  r_err_rt  r_ans_rt   resp_time  \\\n",
       "ADM              0.266400  0.279200  0.253600  0.512800  368.878000   \n",
       "ADMG             0.247600  0.259200  0.236000  0.511600  395.647600   \n",
       "ADMG-ADMU        0.268800  0.298000  0.239600  0.529200  343.513200   \n",
       "BigGAN           0.158000  0.161200  0.154800  0.503200  326.384800   \n",
       "DiT-XL-2         0.286200  0.306800  0.265600  0.520600  340.988000   \n",
       "DiT-XL-2-guided  0.329630  0.330000  0.329259  0.500370  351.765926   \n",
       "GigaGAN          0.212400  0.212400  0.212400  0.500000  397.633600   \n",
       "LDM              0.308846  0.323462  0.294231  0.514615  368.827308   \n",
       "Mask-GIT         0.183400  0.203200  0.163600  0.519800  278.182000   \n",
       "RQ-Transformer   0.223462  0.241923  0.205000  0.518462  307.736923   \n",
       "StyleGAN-XL      0.153400  0.162000  0.144800  0.508600  314.630000   \n",
       "\n",
       "                 f_resp_time  r_resp_time  \n",
       "ADM               169.867200   199.010000  \n",
       "ADMG              213.974400   181.674800  \n",
       "ADMG-ADMU         145.187200   198.328400  \n",
       "BigGAN            148.807600   177.577200  \n",
       "DiT-XL-2          160.790400   180.198400  \n",
       "DiT-XL-2-guided   162.170741   189.595926  \n",
       "GigaGAN           203.250000   194.384400  \n",
       "LDM               182.607308   186.220000  \n",
       "Mask-GIT          131.692800   146.489600  \n",
       "RQ-Transformer    149.075769   158.661538  \n",
       "StyleGAN-XL       141.235200   173.394400  "
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "df_results_sem"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>err_rt</th>\n",
       "      <th>f_err_rt</th>\n",
       "      <th>r_err_rt</th>\n",
       "      <th>r_ans_rt</th>\n",
       "      <th>resp_time</th>\n",
       "      <th>f_resp_time</th>\n",
       "      <th>r_resp_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ADM</th>\n",
       "      <td>0.015736</td>\n",
       "      <td>0.018027</td>\n",
       "      <td>0.020534</td>\n",
       "      <td>0.011210</td>\n",
       "      <td>58.564823</td>\n",
       "      <td>27.321097</td>\n",
       "      <td>31.774851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADMG</th>\n",
       "      <td>0.011669</td>\n",
       "      <td>0.016268</td>\n",
       "      <td>0.021299</td>\n",
       "      <td>0.014932</td>\n",
       "      <td>42.468812</td>\n",
       "      <td>36.808022</td>\n",
       "      <td>13.478704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADMG-ADMU</th>\n",
       "      <td>0.015632</td>\n",
       "      <td>0.024021</td>\n",
       "      <td>0.017102</td>\n",
       "      <td>0.013798</td>\n",
       "      <td>46.005087</td>\n",
       "      <td>12.328108</td>\n",
       "      <td>35.568064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BigGAN</th>\n",
       "      <td>0.014248</td>\n",
       "      <td>0.018941</td>\n",
       "      <td>0.016453</td>\n",
       "      <td>0.010571</td>\n",
       "      <td>36.029311</td>\n",
       "      <td>16.488492</td>\n",
       "      <td>19.991525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiT-XL-2</th>\n",
       "      <td>0.016117</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.026211</td>\n",
       "      <td>0.019162</td>\n",
       "      <td>30.098281</td>\n",
       "      <td>13.332655</td>\n",
       "      <td>17.206796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiT-XL-2-guided</th>\n",
       "      <td>0.012995</td>\n",
       "      <td>0.017312</td>\n",
       "      <td>0.019148</td>\n",
       "      <td>0.012818</td>\n",
       "      <td>27.211530</td>\n",
       "      <td>12.118164</td>\n",
       "      <td>15.367632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GigaGAN</th>\n",
       "      <td>0.014549</td>\n",
       "      <td>0.014802</td>\n",
       "      <td>0.018604</td>\n",
       "      <td>0.008421</td>\n",
       "      <td>79.410486</td>\n",
       "      <td>48.689082</td>\n",
       "      <td>32.089859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDM</th>\n",
       "      <td>0.016858</td>\n",
       "      <td>0.021986</td>\n",
       "      <td>0.022906</td>\n",
       "      <td>0.014827</td>\n",
       "      <td>70.667569</td>\n",
       "      <td>37.226903</td>\n",
       "      <td>34.288659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mask-GIT</th>\n",
       "      <td>0.015641</td>\n",
       "      <td>0.025204</td>\n",
       "      <td>0.018347</td>\n",
       "      <td>0.015534</td>\n",
       "      <td>25.981016</td>\n",
       "      <td>11.664100</td>\n",
       "      <td>14.595786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RQ-Transformer</th>\n",
       "      <td>0.011694</td>\n",
       "      <td>0.016953</td>\n",
       "      <td>0.013904</td>\n",
       "      <td>0.010178</td>\n",
       "      <td>27.622684</td>\n",
       "      <td>13.813008</td>\n",
       "      <td>15.076641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StyleGAN-XL</th>\n",
       "      <td>0.013375</td>\n",
       "      <td>0.018184</td>\n",
       "      <td>0.013627</td>\n",
       "      <td>0.008905</td>\n",
       "      <td>33.480706</td>\n",
       "      <td>10.727294</td>\n",
       "      <td>26.588526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   err_rt  f_err_rt  r_err_rt  r_ans_rt  resp_time  \\\n",
       "ADM              0.015736  0.018027  0.020534  0.011210  58.564823   \n",
       "ADMG             0.011669  0.016268  0.021299  0.014932  42.468812   \n",
       "ADMG-ADMU        0.015632  0.024021  0.017102  0.013798  46.005087   \n",
       "BigGAN           0.014248  0.018941  0.016453  0.010571  36.029311   \n",
       "DiT-XL-2         0.016117  0.023810  0.026211  0.019162  30.098281   \n",
       "DiT-XL-2-guided  0.012995  0.017312  0.019148  0.012818  27.211530   \n",
       "GigaGAN          0.014549  0.014802  0.018604  0.008421  79.410486   \n",
       "LDM              0.016858  0.021986  0.022906  0.014827  70.667569   \n",
       "Mask-GIT         0.015641  0.025204  0.018347  0.015534  25.981016   \n",
       "RQ-Transformer   0.011694  0.016953  0.013904  0.010178  27.622684   \n",
       "StyleGAN-XL      0.013375  0.018184  0.013627  0.008905  33.480706   \n",
       "\n",
       "                 f_resp_time  r_resp_time  \n",
       "ADM                27.321097    31.774851  \n",
       "ADMG               36.808022    13.478704  \n",
       "ADMG-ADMU          12.328108    35.568064  \n",
       "BigGAN             16.488492    19.991525  \n",
       "DiT-XL-2           13.332655    17.206796  \n",
       "DiT-XL-2-guided    12.118164    15.367632  \n",
       "GigaGAN            48.689082    32.089859  \n",
       "LDM                37.226903    34.288659  \n",
       "Mask-GIT           11.664100    14.595786  \n",
       "RQ-Transformer     13.813008    15.076641  \n",
       "StyleGAN-XL        10.727294    26.588526  "
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "plt.errorbar(df_results.index, df_results.err_rt, yerr=df_results_sem.err_rt, fmt='o', capsize=5)\n",
    "plt.ylabel(\"Error Rate\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(experiment_prefix.upper())\n",
    "plt.tight_layout()\n",
    "plt.savefig(f'../plots/{experiment_prefix}_err_rt.png', bbox_inches=None, pad_inches=0.0)\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "plt.errorbar(df_results.index, df_results.f_err_rt, yerr=df_results_sem.f_err_rt, fmt='o', capsize=5)\n",
    "plt.ylabel(\"Error Rate on Fakes\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(experiment_prefix)\n",
    "plt.tight_layout()\n",
    "plt.savefig(f'../plots/{experiment_prefix}_f_err_rt.png', bbox_inches=None, pad_inches=0.0)\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "plt.errorbar(df_results.index, df_results.r_err_rt, yerr=df_results_sem.r_err_rt, fmt='o', capsize=5)\n",
    "plt.ylabel(\"Error Rate on Reals\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(experiment_prefix)\n",
    "plt.tight_layout()\n",
    "plt.savefig(f'../plots/{experiment_prefix}_r_err_rt.png', bbox_inches=None, pad_inches=0.0)\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.10.9 64-bit ('fd-ssl': conda)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "interpreter": {
   "hash": "0b1e6c53afa0da9f8cf13ec959cb92ccd28c62ee93b35961fe33938d6192a4ab"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}